Okkular
An Australian Fashion Tech startup focusing on providing automated product tagging and visual search for fashion business using state of the art computer vision and deep learning technology.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
* | N/A | Early VC | |
| Total Funding | 000k | ||
| USD | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 17 % | 157 % | 15 % | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Okkular is a technology company specializing in AI and deep learning solutions tailored for the retail industry. The company focuses on providing advanced image recognition and automation tools that help retailers enhance their product catalogues and improve customer experience. By integrating seamlessly with any platform or marketplace, Okkular's solutions enable retailers to apply descriptive product tags quickly and at scale, significantly improving search experiences and product discovery. This automation is particularly vital for large e-commerce stores, allowing them to reduce operational costs and drive sales through insightful personalization and enhanced SEO capabilities. Okkular serves a diverse range of clients within the retail sector, including fashion retailers who benefit from improved efficiency in catalogue management and a better online shopping experience. The company's business model revolves around offering scalable, flexible solutions that generate revenue through subscription-based services and customized AI implementations.
Keywords: AI, deep learning, retail, image recognition, automation, product discovery, e-commerce, personalization, SEO, catalogue management.